Following the launch of the BirdyChat application and its recent investment round, the company continues to develop the platform by introducing new solutions that connect it with external workplace tools and AI assistants. Unlike conventional messaging applications, BirdyChat is designed as a work chat platform with advanced features aimed at improving team productivity and streamlining everyday workflows.
In response to the rapid development of AI and workplace technologies, BirdyChat has introduced API and MCP (Model Context Protocol) capabilities. The new integrations allow teams and developers to connect the tools they already use with BirdyChat, automate routine processes, and enable AI assistants such as Claude and ChatGPT to securely interact with their BirdyChat accounts on their behalf.
API: Connect BirdyChat to your daily toolstack
The new API allows developers to integrate their existing tools with BirdyChat. This opens a list of opportunities:
- Team: an internal tool can schedule a weekly summary message to land in your team chat every Monday morning
- Project management: managers can connect their favourite project tracking tools and see updates in project chats
- Sales: a CRM can create a new thread for each deal and automatically add the account team when a lead is assigned
- Development: an automated build system can post test results directly into a development thread and attach log files when something fails.
The new API is also free to use for all AI chatbots.
MCP: AI that reads, writes, and organizes for you
The new MCP integration allows BirdyChat users to connect AI assistants like Claude or ChatGPT to their BirdyChat account to let AI read and write on their behalf.
With the new MCP integration, BirdyChat users can now ask their AI assistant:
- Summarise: “Summarise my conversation with Andy and tell me what the open questions are”
- Find and send: “Find the presentation Anne shared 2 weeks ago and send it to Mark”
- Schedule: “Schedule a message to the sales channel for Monday 9am, reminding everyone about the quarterly review”
- Organize: “Archive all my resolved support threads and snooze the ones waiting on a client reply until next Friday”
Why developers will love this:
- AI agent support built directly into the API. Developers can connect an AI assistant to BirdyChat in minutes with a single line of config.
- Documentation that works for humans and AI alike. BirdyChat publishes its API in machine-readable formats that development tools can consume directly.
- A clean, modern API that’s easy to build on. It includes features developers typically have to build themselves — like request deduplication, real-time event streaming with three delivery options, and thread management operations (snooze, archive, move) that most messaging platforms don’t expose through their API.
Martins Spilners, CTO and cofounder of BirdyChat: “Most messaging APIs were designed before AI assistants existed. We built ours so that developers and AI agents get the same clean interface, with machine-readable documentation, built-in request deduplication, and native MCP support that works with a single line of configuration.”
